1 code implementation • NAACL (BioNLP) 2021 • Dongfang Xu, Steven Bethard
We propose a vector-space model for concept normalization, where mentions and concepts are encoded via transformer networks that are trained via a triplet objective with online hard triplet mining.
no code implementations • COLING 2022 • Yanjun Gao, Dmitriy Dligach, Timothy Miller, Dongfang Xu, Matthew M. M. Churpek, Majid Afshar
In this work, we propose a new NLP task that aims to generate a list of problems in a patient’s daily care plan using input from the provider’s progress notes during hospitalization.
no code implementations • 15 Feb 2024 • Yiming Xu, Dongfang Xu, Shenghui Song
Simultaneous wireless information and power transfer (SWIPT) has been proposed to offer communication services and transfer power to the energy harvesting receiver (EHR) concurrently.
no code implementations • 9 May 2023 • Yiming Xu, Dongfang Xu, Lei Xie, Shenghui Song
Different from conventional radar, the cellular network in the integrated sensing and communication (ISAC) system enables collaborative sensing by multiple sensing nodes, e. g., base stations (BSs).
no code implementations • 20 Feb 2023 • Ata Khalili, Atefeh Rezaei, Dongfang Xu, Robert Schober
In this paper, we investigate joint resource allocation and trajectory design for multi-user multi-target unmanned aerial vehicle (UAV)-enabled integrated sensing and communication (ISAC).
no code implementations • 17 Aug 2022 • Yanjun Gao, Dmitriy Dligach, Timothy Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar
In this work, we propose a new NLP task that aims to generate a list of problems in a patient's daily care plan using input from the provider's progress notes during hospitalization.
no code implementations • 7 Dec 2021 • Yanjun Gao, Dmitriy Dligach, Leslie Christensen, Samuel Tesch, Ryan Laffin, Dongfang Xu, Timothy Miller, Ozlem Uzuner, Matthew M Churpek, Majid Afshar
Conclusions: The existing clinical NLP tasks cover a wide range of topics and the field will continue to grow and attract more attention from both general domain NLP and clinical informatics community.
1 code implementation • 26 Nov 2021 • Dongfang Xu, Shan Chen, Timothy Miller
In this paper, we present our work participating in the BioCreative VII Track 3 - automatic extraction of medication names in tweets, where we implemented a multi-task learning model that is jointly trained on text classification and sequence labelling.
no code implementations • ACL 2020 • Dongfang Xu, Zeyu Zhang, Steven Bethard
Concept normalization, the task of linking textual mentions of concepts to concepts in an ontology, is challenging because ontologies are large.
1 code implementation • LREC 2020 • Dongfang Xu, Peter Jansen, Jaycie Martin, Zhengnan Xie, Vikas Yadav, Harish Tayyar Madabushi, Oyvind Tafjord, Peter Clark
Prior work has demonstrated that question classification (QC), recognizing the problem domain of a question, can help answer it more accurately.
no code implementations • SEMEVAL 2019 • Dongfang Xu, Egoitz Laparra, Steven Bethard
Recent studies have shown that pre-trained contextual word embeddings, which assign the same word different vectors in different contexts, improve performance in many tasks.
no code implementations • SEMEVAL 2018 • Egoitz Laparra, Dongfang Xu, Ahmed Elsayed, Steven Bethard, Martha Palmer
This paper presents the outcomes of the Parsing Time Normalization shared task held within SemEval-2018.
1 code implementation • TACL 2018 • Egoitz Laparra, Dongfang Xu, Steven Bethard
This paper presents the first model for time normalization trained on the SCATE corpus.
Ranked #1 on Timex normalization on PNT